Feminisms in geography : rethinking space, place, and knowledges
Bibliographic record
Abstract
An Introduction: Feminisms, Geographies, Knowledges Part I: Women, Geography, and Feminist Interventions Introduction to Part I: Shaping Feminist Geographies Chapter 1: Not Excluding Half of the Human in Human Geography Chapter 2: Reflections on Poststructuralism and Feminist Empirics, Theory, and Practice Chapter 3: On Not Excluding... Redux Chapter 4: Complexity and Connection Chapter 5: Balancing the Margin and the Mainstream Chapter 6: Coming Home to Geography: A Personal and Intellectual Journey across the Disciplinary Divides Part II: Against Hegemony within Feminist Geography Introduction to Part II: Challenging Feminist Geographies Chapter 7: Feministische Geographien: Ein Streifzug in die Zukunft [Feminist Geographies: An Excursion into the Future] Chapter 8: Qaid-dar-qaid: Chahardeevariyon Se Mansiktaon Tak Chhidi Jung [Prisons within Prisons: Battles Stretching from the Courtyards to the Minds] Chapter 9: Languages of Collaboration Chapter 10: Still Gender Trouble in German-Speaking Feminist Geography Chapter 11: Power and Privilege: (Re)Making Feminist Geographies Part III: Spaces for Feminist Praxis Introduction to Part III: Generating Feminisms in Geographies Chapter 12: Racism out of Place: Thoughts on Whiteness and an Antiracist Geography in the New Millennium Chapter 13: Racism in Place: Another Look at Shock, Horror, and Racialization Chapter 14: They Think You're As Stupid As Your English Is: Constructing Foreign Domestic Workers in Toronto Chapter 15: Caregivers, the Local-Global, and the Geographies of Responsibility Chapter 16: Space for Feminism in Greek Academe? Chapter 17: Feminist Pedagogy: Diversity and Praxis in a University Context Chapter 18: Feminist Theorizing as Practice Chapter 19: Practical Feminism in an Institutional Context Chapter 20: Reflections on a Feminist Collaboration: Goals, Methods, and Outcomes A Conclusion: Shared Mobility: Toward Rhizomatic Feminist Geographies
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.061 |
| Scholarly communication | 0.013 | 0.022 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".